Splunk Developer

We are looking for 12+ years' experience Enterprise Observability Engineer, who would leverage powerfully insightful data to inform our systems and solutions, and we're seeking an experienced pipeline-centric data engineer to put it to good use in building out ETL and Data Operations framework (Data Preparation / Normalization and Ontological processes). Technical Skills: Ø Five or more years of experience with Python, SQL, and data visualization/exploration tools Ø Full stack observability lead with Splunk (preferred) / Datadog, Infra monitoring, App onboarding and APM experience Ø Proficiency in observability tools: They are familiar with tools for logging, metrics, and tracing, such as ELK Stack, Splunk and distributed tracing systems. Ø Familiarity with OOB dashboards and templates creation. Trying to integrate ITSI to correlate event data for analytics. Ø Communication skills, especially for explaining technical concepts to nontechnical business leaders Ø General understanding of distributed systems: They need to understand the complexities of modern architectures, including microservices, cloud-native environments, and hybrid infrastructure. Ø Familiarity with the AWS ecosystem, specifically Redshift and RDS Ø Communication skills, especially for explaining technical concepts to nontechnical business leaders Ø bility to work on a dynamic, research-oriented team that has concurrent projects Ø Experience in building or maintaining ETL processes Ø Experience in insurance domain Ø Professional certification. Ø Strong understanding of distributed systems: They need to understand the complexities of modern architectures, including microservices, cloud-native environments, and hybrid infrastructure. Ø Proficiency in observability tools: They are familiar with tools for logging, metrics, and tracing, such as ELK Stack, Prometheus, Grafana, and distributed tracing systems. Ø Data analysis and visualization skills: They can analyze telemetry data to identify trends and patterns and create visualizations to communicate insights. Ø Scripting and automation: They can automate tasks and create scripts to manage observability infrastructure. Ø Should have experience with cloud platforms like AWS, Azure, and GCP Key Responsibilities and Skill Ø Work with Splunk and internal teams to create a factory model to onboard applications to Splunk Ø Use agile software development processes to make iterative improvements to our back-end systems Ø Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis Ø Build data pipelines that clean, transform, and aggregate data from disparate sources Ø Develop and expand PubSub models and scaling event/messaging architectures Ø Establish and extrapolate Ontological/Semantic standards Ø Develop models that can be used to make predictions and answer questions for the overall business. Ø Designing and Implementing Observability Pipelines: Observability engineers create robust pipelines to collect, aggregate, and analyze data from various sources. Ø Monitoring and ing: They establish monitoring systems and s to detect anomalies and performance issues in real-time. Ø Metric & Instrumentation Standards: Defining common metric standards for every stage of the Application Lifecycle process and Instrumentation standards and scripting including OTel standards alignment Ø Data Analysis and Visualization: They analyze telemetry data (logs, metrics, traces) to gain insights into system behavior and identify trends. Ø Incident Response: They investigate and troubleshoot incidents, using observability data to understand the root cause and implement solutions. Ø Collaboration and Communication: They collaborate with development, SRE, and other teams to ensure observability practices are integrated into workflows and to share insights. Ø Staying Up-to-Date: They stay current with the latest trends in observability, logging, monitoring, and cloud technologies. Ø Documentation and Knowledge Sharing: They create comprehensive documentation for observability systems and processes and share knowledge with other teams .

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.